A fast and flexible C++ template container class for storing data in arbitrary tree structures with STL-compatible interfaces.
st_tree is a C++ template library that provides a container class for storing data in arbitrary tree structures. It solves the problem of implementing efficient and flexible tree data structures in C++ by offering STL-compatible interfaces and configurable storage models. The library is designed for performance, with logarithmic-time operations and support for various child node management strategies.
C++ developers who need to implement or work with hierarchical data structures, such as those building compilers, file systems, UI frameworks, or any application requiring tree-based data organization.
Developers choose st_tree for its seamless integration with existing STL code, its flexibility in child node storage (vector, multiset, or map), and its computational efficiency. It is a lightweight, header-only library that is thoroughly tested and memory-safe.
A fast and flexible c++ template class for tree data structures
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Supports standard STL methods, iterators, and allocators, making it easy to integrate into existing C++ projects without learning a new API, as emphasized in the README.
Allows child nodes to be managed via vector, multiset, or map, enabling raw, ordered, or keyed storage based on application needs, providing flexibility highlighted in the documentation.
Most operations execute in logarithmic time, ensuring good performance for tree manipulations, which is a key feature noted in the README.
Unit tested and memory validated with valgrind, providing reliability and confidence in avoiding memory leaks, as mentioned in the installation and building instructions.
Requires advanced knowledge of C++ templates and STL, which can be a steep learning curve for developers not familiar with metaprogramming, limiting accessibility.
As a header-only library, it can significantly increase compilation times in large codebases, a common downside not addressed in the README.
Compared to established alternatives like Boost, st_tree has fewer resources, tutorials, and third-party integrations, which might hinder troubleshooting and adoption.
Installation requires cmake and manual configuration, as shown in the quick start guide, which can be cumbersome for quick prototyping or in environments without build systems.